⏩ TL;DR
**TL;DR** > ByteSnap Design surveyed 281 UK electronics and embedded professionals in 2026. 34% already have AI features in production, but only 2% think AI can lead most product decisions on its own. Integration with existing electronics is the biggest obstacle (47%), as it was in our two previous industry surveys, and 33% say AI is adding verification work.
Where engineers draw the line
Adoption is further along than many expect. On top of the teams already in production, another 26% are running customer pilots or limited deployments.
The AI furthest into production does narrow jobs: computer vision and quality inspection (41%), cyber threat detection (39%) and predictive maintenance (37%). These systems watch for a known pattern and flag it, and an engineer makes the call.
Engineers are just as clear about what stays with them. 57% say safety, risk acceptance and accountability must remain human led, and 43% say the same of verification and engineering sign off.
Integration has topped our last three surveys
Each of our last three surveys asked about the biggest challenge in a different area, and integration came out on top every time.
| Year | Survey | Question asked | Top finding |
|---|---|---|---|
| 2024 | AI in the workplace | Biggest challenge deploying AI | Integration with existing systems and workflows, 34% |
| 2025 | Future proofing manufacturing | Main challenges managing obsolescence | Integration with existing systems, 62% |
| 2026 | AI in electronics: what makes the cut | Biggest snag moving AI from concept to product | Integration with existing electronics, firmware or control logic, 46% |
Whose time is actually being saved?
"40% of engineers say AI is saving them time. A third say it is adding verification and governance work. On the projects we see, both land on the same engineers. If the business case only counts the saving, the programme pays for the verification later, usually close to release."
Get the full report
- why customer trust now weighs as heavily as product safety in regulated products
- the three year outlook, and why medical and defence teams are the most cautious
- the three gates every AI feature has to pass before it reaches production
- the complete data tables behind every figure
Michèlle Robinson is Head of Marketing at ByteSnap Design, the UK embedded systems and electronic design consultancy, and at its EV charger design subsidiary, Versinetic.
She joined ByteSnap Design in 2014 and has written about embedded systems and electronics product development ever since.
Michèlle came to technology from broadcast journalism. She’s worked as a news reporter, sub-editor, correspondent and presenter across UK television and radio, including BBC 5 Live, BBC Radio 4, BBC Breakfast News, ITV Central, Westcountry TV, and both BBC and independent local radio.
She writes on embedded design, AI in electronics, product development and trends across the UK electronics sector.
Outside work, Michèlle travels, learns languages and practises hot yoga.
